Gibran Fuentes-Pineda

About Gibran Fuentes-Pineda

Gibran Fuentes-Pineda, With an exceptional h-index of 13 and a recent h-index of 10 (since 2020), a distinguished researcher at Universidad Nacional Autónoma de México, specializes in the field of Data Mining, Machine Learning, Computer Vision, Artificial Intelligence, Service Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

CFDA-CSF: A Multi-modal Domain Adaptation Method for Cross-subject Emotion Recognition

Efficient generative adversarial networks using linear additive-attention Transformers

Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition

Cross-subject EEG-based emotion recognition via semi-supervised multi-source joint distribution adaptation

Target selection strategies for Demucs-based speech enhancement

Improving Transfer Learning for Movie Trailer Genre Classification using a Dual Image and Video Transformer

Computation of photovoltaic and stability properties of hybrid organic–inorganic perovskites via convolutional neural networks

An entropic associative memory

Gibran Fuentes-Pineda Information

University

Position

IIMAS

Citations(all)

391

Citations(since 2020)

277

Cited By

221

hIndex(all)

13

hIndex(since 2020)

10

i10Index(all)

18

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Gibran Fuentes-Pineda Skills & Research Interests

Data Mining

Machine Learning

Computer Vision

Artificial Intelligence

Service Robotics

Top articles of Gibran Fuentes-Pineda

CFDA-CSF: A Multi-modal Domain Adaptation Method for Cross-subject Emotion Recognition

IEEE Transactions on Affective Computing

2024/1/23

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Efficient generative adversarial networks using linear additive-attention Transformers

arXiv preprint arXiv:2401.09596

2024/1/17

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Learning a robust unified domain adaptation framework for cross-subject EEG-based emotion recognition

Biomedical Signal Processing and Control

2023/9/1

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Cross-subject EEG-based emotion recognition via semi-supervised multi-source joint distribution adaptation

IEEE Transactions on Instrumentation and Measurement

2023/8/9

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Target selection strategies for Demucs-based speech enhancement

Applied Sciences

2023/7/3

Caleb Rascon
Caleb Rascon

H-Index: 9

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Improving Transfer Learning for Movie Trailer Genre Classification using a Dual Image and Video Transformer

Information Processing & Management

2023/5/1

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Computation of photovoltaic and stability properties of hybrid organic–inorganic perovskites via convolutional neural networks

Theoretical Chemistry Accounts

2022/4

An entropic associative memory

Scientific Reports

2021/3/25

A few filters are enough: Convolutional neural network for P300 detection

Neurocomputing

2021/2/15

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Jorge Cervantes-Ojeda
Jorge Cervantes-Ojeda

H-Index: 4

Deliberative and conceptual inference in service robots

Applied Sciences

2021/1

Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach

Informatics in Medicine Unlocked

2021/1/1

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Lightweight speaker verification for online identification of new speakers with short segments

Applied Soft Computing

2020/10/1

Caleb Rascon
Caleb Rascon

H-Index: 9

Gibran Fuentes-Pineda
Gibran Fuentes-Pineda

H-Index: 8

Practical non-monotonic knowledge-base system for un-regimented domains: A case-study in digital humanities

Information Processing & Management

2020/5/1

Siamese Network applied to Authorship Verification.

2020

See List of Professors in Gibran Fuentes-Pineda University(Universidad Nacional Autónoma de México)

Co-Authors

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